Xiaoyi Wen文晓艺
About me
I am a postdoctoral scholar in the Department of Epidemiology & Biostatistics at the University of California, San Francisco, working with Dr. Fei Jiang.
I received my PhD in Statistics from Renmin University of China, advised by Prof. Liping Zhu, and was a visiting PhD student at the London School of Economics and Political Science with Prof. Zoltán Szabó.
01 / Work EXPERIENCE
- Postdoctoral Scholar, University of California, San Francisco. June 2025 – Present.
- Research Assistant, Southern University of Science and Technology. August 2020 – June 2021.
02 / EDUCATION
- PhD in Statistics, Renmin University of China. 2021–2025.
- MSc in Statistics, University of Hong Kong. 2019–2020.
- BSc in Applied Statistics, Shanghai University of International Business and Economics. 2015–2019.
03 / RESEARCH
- Theory: random graph analysis, kernel methods, deep generative models.
- Applications: statistical machine learning for medical data analysis and uncertainty quantification, including brain imaging, tumor segmentation, three-dimensional velocity-field reconstruction.
04 / PUBLICATIONS
Articles
- Wen X, Wang J, Zhu L. RKHS-Based Latent Position Random Graph Correlation. Journal of Computational and Graphical Statistics. In press. [DOI] [arXiv]
- Wen X. Two-sample testing for random graphs. Statistical Analysis and Data Mining, 17(4): e11703. 2024. [DOI]
- Ni M, Wen X, Zhang M, et al. Predictive value of the diffusion magnetic resonance imaging technique for the postoperative outcome of cervical spondylotic myelopathy. Journal of Magnetic Resonance Imaging, 59(2): 599–610. 2024. [DOI]
- Wen X, Xu J. Generalized Accelerated Failure Time Models for Recurrent Events. Mathematics, 10(15): 2662. 2022. [DOI]
- Ni M, Wen X, Chen W, et al. A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint. Journal of Magnetic Resonance Imaging. 2022. [DOI]
- Ni M, Zhao Y, Wen X, et al. Deep learning-assisted classification of calcaneofibular ligament injuries in the ankle joint. Quantitative Imaging in Medicine and Surgery. 2022. [DOI]
05 / CONTACT
Email: xiaoyi[DOT]wen[AT]ucsf[DOT]edu